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Vetted Large Language Models Professionals
Pre-screened and vetted.
Stephen Koo
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
“Google Workspace AI engineer who owned major AI assistant infrastructure end-to-end: React/TypeScript UI, a Node.js context-aggregation gateway on Cloud Run, and a Go inference layer on GKE serving Gemini. Built and productionized Gmail RAG + agentic workflows with rigorous evals and guardrails, and has a strong track record of measurable impact (latency, engagement, acceptance-rate lifts) and zero-incident migrations using feature flags/strangler patterns across multiple ML teams.”
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Executive Technology & Product Leader specializing in AI, Cloud, and Cybersecurity platforms
Executive Technology Leader specializing in GenAI, cloud infrastructure transformation, and enterprise modernization
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Principal/Senior Architect specializing in AI platforms and cybersecurity
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Executive AI Founder & CEO specializing in LLM agents, data engineering, and regulated healthcare markets
Staff Software Engineer specializing in AI platforms, RAG systems, and large-scale products
Staff AI/ML Technical Leader specializing in LLM agents, ranking, and large-scale NLP platforms
Junior Software Engineer specializing in AI/ML and recommendation systems
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Esha Pahwa
Intern Machine Learning Engineer specializing in LLM agents and multimodal reasoning
“LLM/agent engineer who built a production code-generation agent at Corvic AI that lets non-technical users query CSV/tabular data in natural language by generating and executing Python. Focused on making LLM systems reliable and scalable via schema-aware validation, sandboxed execution-feedback retries, prompt caching/embeddings, async execution, and high-throughput data processing with Polars; also partnered with Adobe product/marketing to ship brand-aligned AI content generation for email and push notifications.”
Stephane Maes
Executive CTO/CPO specializing in Industrial AI, Autonomous Enterprise, and Enterprise Cloud software
“Chief AI Strategy at startup Zenera with 30 years in technology strategy/design, experienced in building business plans across startups and large enterprises (projects, new products, and M&A). Deeply familiar with enterprise AI go-to-market challenges (slow procurement/pilot cycles) and preparing for VC expectations (e.g., targeting a16z) by emphasizing unique tech and paying customers.”
Executive Technology Leader (CTO) specializing in AI-Native Enterprise SaaS and Platforms
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Junior Software Development Engineer specializing in AI/ML and distributed systems
Senior Machine Learning Engineer specializing in NLP and Generative AI
Principal Software Engineer specializing in distributed systems and cloud platforms
Senior Python Engineer specializing in cloud infrastructure, media services, and IoT
Senior Full-Stack AI Engineer specializing in LLM and speech-to-text products
Principal Data Scientist specializing in Generative AI and security analytics